Image Classification
Transformers
PyTorch
TensorBoard
English
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use stbnlen/pokemon_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stbnlen/pokemon_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="stbnlen/pokemon_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("stbnlen/pokemon_classifier") model = AutoModelForImageClassification.from_pretrained("stbnlen/pokemon_classifier") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343723949
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecbb91775be8e931b6c03826977659f7dbd8efc718cfbbcbe99895de525004e6
|
| 3 |
size 343723949
|
runs/Sep19_17-09-20_a63fec78c2d1/events.out.tfevents.1695143674.a63fec78c2d1.329.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13c18799f89ba846d20809751df87416a5d1d6bb8298eecc2fb804e0b3c966ec
|
| 3 |
+
size 12731
|